| KEYWORD |
Applied Electromagnetics
Hardware acceleration of electromagnetic simulation
Tesi esterna in azienda
Parole chiave NUMERICAL SIMULATIONS, HARDWARE ACCELERATION, FPGA
Riferimenti MAURIZIO MARTINA, GIUSEPPE VECCHI
Riferimenti esterni Andrea Scarabosio, Marco Righero, Links
Gruppi di ricerca Applied Electromagnetics, VLSILAB (VLSI theory, design and applications)
Tipo tesi MASTER THESIS
Descrizione Electromagnetic simulation is at the base of the design of all modern high-speed electronics and communications systems, including radar and automotive. Because of the increasing complexity of systems and tasks, increasingly sophisticated and fast algorithm solving Maxwell’s equations are needed to develop innovative technologies and solutions. Traditional high-performance computing (HPC) strategies for computational electromagnetics (CEM) involve distributed computing methods (such as MPI) and shared memory programming paradigms (e.g. OpenMP) in multi-threaded/multi-core or even HPC hardware. Additional improvements have also been established with graphic processing units (GPUs).
However, recent increased demands for performance require a disruptive approach. The aim of this project is to implement a parallelised computational electromagnetics (CEM) solver, for established computational techniques, but using hardware acceleration strategies. For that purpose, properly selected CEM algorithms must be ported, implemented and run in hardware and efficiently integrated in the computational environment. These acceleration techniques are focussed on applying devices such as FPGAs and GPUs to improve the memory and run-times associated with conventional solvers.
This thesis aims to demonstrate the hardware acceleration of best candidate CEM algorithms to achieve higher global performances
1. D. Denonno et al., “GPU-based acceleration of computational electromagnetics codes”, INTERNATIONAL JOURNAL OF NUMERICAL MODELLING: ELECTRONIC NETWORKS, DEVICES AND FIELDS Int. J. Numer. Model. 2013; 26:309–323
Note Expected duration: 6 months.
The thesis will be developed at Fondazione LINKS, Antenna and EMC Lab.
Scadenza validita proposta 30/04/2022
PROPONI LA TUA CANDIDATURA